CatBarks
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wj_ah_ASR_w_llama2_hs_w_op_capped100_recluster_k7_Algo

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Check out the documentation for more information.

Reclustered KMeans(k=7) for wj_ah_ASR_w_llama2_hs_w_op (capped 100)

Original dataset: CatBarks/wj_ah_ASR_w_llama2_hs_w_op
Capped & reclustered dataset: CatBarks/wj_ah_ASR_w_llama2_hs_w_op_capped100_recluster_k7
Algorithm: scikit-learn KMeans with k=7, trained on capped_ds_k7_100
Feature column: last_hs_w_op
Scaling: sklearn.preprocessing.StandardScaler fitted on capped data

Files

kmeans_recluster_k7.pkl: pickled dict with kmeans, scaler, feature_col, n_clusters.
kmeans_recluster_k7_centroids.npy: NumPy array of shape (7, D) with cluster centers.

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